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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

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The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Distributed and Parallel Computing Systems
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

2,076 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
2,076 works in the cohort · of 4,299,418page 6 of 42

Labels cover 5 of 2,076 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 2,076 of 2,076 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affunlabeled
TOS
Tyrone Nicholas, Jerzy A. Barchanski
2001· article· en· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
9
citations
affunlabeled
Cactus: Issues for Sustainable Simulation Software
Frank Löffler, Steven R. Brandt, Gabrielle Allen, Erik Schnetter
2014· article· en· Journal of Open Research Software· Computer Science
machine prediction:candidate · open_scienceconsensus · none
9
citations
affno abstractunlabeled
OpenMP Shared Memory Parallel Programming
Michael Voss
2003· book· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
The PADRES Publish/Subscribe System
Hans‐Arno Jacobsen, Alex Cheung, Guoli Li, Balasubramaneyam Maniymaran, Vinod Muthusamy, Reza Sherafat Kazemzadeh
2011· book-chapter· en· IGI Global eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
Research computing in a distributed cloud environment
K Fransham, Arun Agarwal, P. Armstrong, A. Bruce Bishop, André Charbonneau, Ron Desmarais +13 more
2010· article· en· Journal of Physics Conference Series· Computer Science
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Reliable Text-to-SQL with Adaptive Abstention
Kaiwen Chen, Yueting Chen, Nick Koudas, Xiaohui Yu
2025· article· en· Proceedings of the ACM on Management of Data· Computer Science
machine prediction:candidate · noneconsensus · none
8
citations
affno abstractunlabeled
Large System Performance of SPEC OMP Benchmark Suites
Hideki Saito, Greg Gaertner, Wesley Jones, Rudolf Eigenmann, Hidetoshi Iwashita, Ron Lieberman +2 more
2003· article· en· International Journal of Parallel Programming· Computer Science
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Adaptive time/space sharing with SCOJO
Angela C. Sodan, Xuemin Huang
2006· article· en· International Journal of High Performance Computing and Networking· Computer Science
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Linearized Data Center Workload and Cooling Management
Somayye Rostami, Douglas G. Down, George Karakostas
2024· article· en· IEEE Transactions on Automation Science and Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
8
citations
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